A genetic approach to econometric modeling

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@InCollection{Koza:1991:gem,
  author =       "John R. Koza",
  title =        "A genetic approach to econometric modeling",
  booktitle =    "Economics and Cognitive Science",
  publisher =    "Pergamon Press",
  year =         "1991",
  editor =       "Paul Bourgine and Bernard Walliser",
  address =      "Oxford, UK",
  pages =        "57--75",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://www.genetic-programming.com/jkpdf/ecs1991cecoia1990.pdf",
  abstract =     "An important problem in economics is finding the
                 mathematical relationship between the empirically
                 observed variables measuring a system. In many
                 conventional modeling techniques, one necessarily
                 begins by selecting the size and shape of the model.
                 After making this choice, one usually then tries to
                 find the values of certain coefficients required by the
                 particular model so as to achieve the best fit between
                 the observed data and the model. But, in many cases,
                 the most important issue is the size and shape of the
                 model itself.

                 Finding the functional form of the model can be viewed
                 as searching a space of possible computer programs for
                 the particular computer program which produces the
                 desired output for given inputs. This most fit computer
                 program can be found via a recently developed genetic
                 programming paradigm originally developed for solving
                 artificial intelligence problems. This new genetic
                 programming paradigm genetically breeds populations of
                 computer programs in a Darwinian competition using
                 genetic operations, such as crossover (sexual
                 recombination). In this paper, we illustrate the
                 process of discovering a model by rediscovering the
                 well-known multiplicative (non-linear) {"}exchange
                 equation{"} P=F(MV,Q) relating the money supply, price
                 level, gross national product, and velocity of money in
                 an economy.",
  notes =        "'This paper was submitted in 1989 to the CECOIA-1990
                 conference held in Paris in 1990.
                 http://www.genetic-programming.com/jkpdf/cecoia1990.pdf
                 '",
}

Genetic Programming entries for John Koza

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